Top Technical Program Manager Jobs in San Francisco Bay Area, CA

Own multiple complex technical and cross-functional programs across Engineering, Product, and Design. Partner with senior leaders to drive planning, prioritization, delivery, operating rhythms, risk management, executive communications, and strategic initiatives. Translate ambiguous problems into action plans, align resources with company priorities, and improve processes through automation.

Leads complex, cross-functional technical programs from planning through launch and sustaining phases. Coordinates hardware, firmware, software, product, operations, quality, supply chain, and external partners. Establishes plans, milestones, dependencies, risks, decision points, and success measures; drives launch readiness, phase-gate reviews, stakeholder alignment, and go/no-go decisions. Improves program processes and communicates status, tradeoffs, and recommendations to leadership.

Leads complex, cross-functional technical programs for the Superintelligence Lab. Responsibilities include roadmap execution, milestone and dependency management, risk mitigation, issue resolution, stakeholder alignment, leadership reporting, and implementing program-management best practices. The role requires collaboration with engineering, data science, and leadership teams while using AI technologies and Jira to improve workflows, decision-making, and business outcomes.

Lead complex, cross-functional technical programs across Platform Services Engineering. Responsibilities include creating program roadmaps, managing dependencies and risks, aligning engineering and executive stakeholders, establishing governance and success metrics, improving platform adoption, driving architectural initiatives, and communicating program status. The role requires strong technical fluency, executive communication, data-driven decision-making, and experience leading ambiguous, multi-team programs.

Leads cross-functional software implementation delivery for 2–3 concurrent customer projects. Owns Jira schedules, scope, technical build timelines, risks, dependencies, standups, process documentation, and go-live coordination across product, engineering, design, QA, architects, and analysts. Partners with management on metrics, dashboards, bug management, release processes, and workflow standardization.

Leads strategic, cross-functional security programs with executive visibility and complex dependencies. Establishes standardized program-management practices, roadmaps, metrics, risk management, decision processes, and reporting across the Global Security Office. Drives alignment, resolves trade-offs, improves execution through automation and AI-enabled workflows, and connects security initiatives to company goals, customer trust, resilience, and business outcomes.

Leads complex, cross-functional engineering programs for HPE networking and IT products. Manages schedules, budgets, resources, deliverables, risks, stakeholders, and project teams through product development and implementation. Partners with engineering, manufacturing, management, external organizations, and development teams to resolve escalations, improve processes, integrate technologies, and meet product roadmaps. Provides technical guidance, mentoring, and senior-level communication across matrixed teams.

Leads cross-functional technical programs supporting customer-facing Technical Solutions teams. Responsibilities include coordinating stakeholders, dependencies, timelines, risks, and requirements; maintaining project documentation and status visibility; using data to track milestones and guide decisions; applying AI tools to improve workflows; communicating with technical and non-technical stakeholders; and driving process improvements across moderately complex programs.

Lead complex technical programs for web and mobile customer experiences, developing project plans, managing milestones and dependencies, aligning Engineering, Design, R&D, Operations, and stakeholders, and operationalizing digital products. The role supports technical decision-making involving APIs, data systems, enterprise platforms, security, and scalable product development. It also requires risk mitigation, Agile delivery practices, stakeholder communication, and occasional travel, with a hybrid schedule in San Ramon, California.

Own Pinterest’s centralized AI Compliance program, focusing on GenAI risk mitigation. Establish AI governance and risk frameworks, translate global regulations into engineering roadmaps, define responsible AI policies and metrics, and coordinate Legal, Security, Privacy, Data Engineering, Product, and engineering teams. Lead risk reporting, AI tooling, process improvements, and executive communication while driving consensus and scalable compliance mechanisms across complex, distributed programs.

Own Anthropic’s Pacing program, coordinating cross-functional AI safety, research, policy, legal, communications, and engineering projects. Establish owners, milestones, dependencies, evidence requirements, operating rhythms, and executive reporting. Translate strategy into measurable projects, drive decisions and accountability, track public commitments, manage sensitive work, and recommend changes based on progress. The role requires technical fluency in frontier AI training, evaluation, deployment, safety, and governance, plus the ability to deliver through teams without direct authority.

Own Anthropic’s external evaluator program from partner development and contracting through technical access, onboarding, report review, and publication. Define scalable policies, workflows, permissions, monitoring, and tooling while balancing evaluator access with security and confidentiality. Coordinate researchers, engineers, Security, Legal, IT, and other teams; translate findings into accountable research and engineering work; manage risks, dependencies, timelines, retrospectives, and stakeholder communications.

Own and deliver complex technical, business, and organizational programs from problem definition through handoff. Partner with engineering, product, design, finance, and GTM teams to align priorities, resolve dependencies, improve execution, and provide leadership with progress, risk, and resource visibility. Help establish TPM practices, processes, hiring, and onboarding while applying data-driven program management and AI-enabled operational improvements.

Own end-to-end technical program management for lidar, camera, telematics, and compute hardware modules from concept through production. Build schedules, manage prototype readiness, coordinate design and phase-gate reviews, track risks, and drive cross-functional issues to closure. Manage supplier and contract manufacturer relationships, build reports, design releases, quality activities, and executive status communications across engineering, reliability, supply chain, and vehicle integration teams.

Leads technical program execution between Waymo software and systems teams and OEM vehicle partners. The role aligns requirements, milestones, release processes, and deployment activities; resolves technical and operational issues; manages competing program priorities; communicates risks and status; and improves engineering execution. Requires software development experience at vehicle OEMs, technical program or product management experience, and regular domestic and international travel. Robotics, autonomous driving, release management, and Korean or Japanese proficiency are preferred.

Lead cross-functional technical programs spanning data center operations, supply chain, finance, and IT. Own integrated plans, dependencies, risks, delivery cadence, migrations, DCIM deployments, telemetry improvements, system integrations, testing, go-live readiness, and operational handoffs. Coordinate business owners, product, engineering, facilities, data teams, suppliers, and senior stakeholders to deliver reliable systems and scalable execution mechanisms across multiple sites.

Lead complex technical programs from planning through launch, coordinating multiple engineering teams and cross-functional stakeholders. Drive process improvements, manage dependencies and risks, communicate program status, establish success metrics, and resolve technical and organizational issues. Help define the TPM function’s vision, strategy, and best practices in a rapidly evolving startup environment.

Own technical programs that scale simulation, cloud infrastructure, automation, AI-assisted triage, metrics, and release evaluation for autonomous vehicle software. Partner cross-functionally to convert research and prototypes into production systems, reduce development and validation cycle times, expand virtual testing, and improve release cadence. Measure bottlenecks and communicate data-backed progress to executive leadership.

Lead hardware product development programs from concept through mass production. Establish objectives and execution strategies, balance schedule and risk, coordinate cross-functional engineering teams, manage project execution, communicate risks and results, and improve product development processes. The role requires launching successful products, strong communication across engineering disciplines, and travel to China as needed. This is an onsite position in San Francisco five days per week.

Owns cross-functional technical programs spanning robotics hardware, ROS-based software, edge computer vision, AI models, cloud platforms, and retailer-facing systems. Responsibilities include dependency mapping, integration checkpoints, risk management, release scheduling, deployment readiness, and field rollout stability. The role requires hands-on experience building or debugging complex hardware-software products, technical fluency across robotics and cloud systems, and the ability to drive execution among engineering teams without direct authority.

Leads end-to-end delivery and validation of multi-day battery products from concept through commercialization. Integrates systems architecture, electrical engineering, firmware, and software workstreams; establishes product development and validation processes; manages risks and dependencies; facilitates technical and executive decisions; and mentors program managers and engineers.

Leads end-to-end delivery of hyperscale data center builds and capacity expansions. Owns program plans, schedules, requirements, risks, budgets, KPIs, and executive reporting while coordinating Engineering, Supply Chain, and Data Center Operations. Establishes scalable delivery processes and SLAs, resolves technical and logistical issues, and drives commissioned infrastructure from planning through operational handoff.

Owns the full lifecycle of PMO processes and tools, including requirements, documentation, configuration, integrations, training, rollout, support, and retirement. Partners with IT, engineering, and operations stakeholders; manages plans, milestones, risks, reporting, and communications. Uses Jira, Confluence, AI tools, automations, dashboards, and applications to improve program execution and decision-making.

Lead AI initiatives from concept through deployment and adoption. Translate priorities into technical plans, coordinate dependencies across engineering and business teams, drive decisions, manage risks, oversee evaluations and deployment readiness, establish support ownership, and ensure solutions deliver measurable outcomes. The role also requires hands-on technical fluency with Python, SQL, APIs, LLM SDKs, data pipelines, agent systems, and evaluation practices.

Leads AI initiatives from concept through deployment, adoption, and ownership. Responsibilities include creating technical plans, coordinating dependencies across engineering and business teams, driving technical decisions, managing risks and blockers, coordinating evaluations and deployment readiness, establishing support and monitoring ownership, and ensuring AI governance reviews. The role requires hands-on technical fluency, LLM and agent evaluation knowledge, operational rigor, and strong cross-functional communication.